01 · Research-grounded
We run the methods we publish.
The Trustworthy AI methods we published in J. Cleaner Production (2024 · 2025) are the same ones we run as services.
ABOUT
Where research becomes product.
AI Korea Inc. is a HUFS faculty-founded company. We take Trustworthy AI methods published in Journal of Cleaner Production (2024 · 2025) and operate them as environmental GIS dashboards and an in-house B2B SaaS.
His research focuses on trustworthy AI design, explainable AI (XAI), uncertainty quantification (UQ), environmental prediction, and public-health AI. Based at HUFS Division of Social Science & AI, he has published two SCIE papers as corresponding author — and the company runs those exact methods as its services.
AI Korea Inc. runs four product lines directly — job-posting data, environmental GIS dashboards, Trustworthy AI design, and our in-house B2B SaaS Homosilicus. Data, models, dashboards, and SaaS are handled end-to-end by one team.
Seven institutional partners have helped us validate operations and data integrity — Korea Environment Institute (KEI), Samsung Medical Center (SMC), Korea Research Institute for Vocational Education and Training (KRIVET), Busan Institute of S&T Evaluation and Planning (BISTEP), Korea Testing Laboratory (KTL), National Institute of Wildlife Disease Control (NIWDC), and Green Vet Inc.
WHY US
Three axes, all at once.
Research-grounded reliability, full-stack execution, and Trustworthy AI expertise — we hold all three simultaneously.
02 · Full-stack execution
Data, models, dashboards, and SaaS — one team.
Not just proofs of concept — four live products operated in-house. Clients don't have to coordinate multiple vendors.
03 · Trustworthy AI expertise
We design AI you can put into decisions.
Narrowed to two themes — explainable AI (XAI) and uncertainty quantification (UQ) — for decisions that require accountability.
WHAT WE DO
Four product lines.
From data to SaaS — four lines, all operated by one team.
- 01
jobs-data
Job Posting Data
Job postings collected, cleaned, tagged, and delivered as actionable data.
- 02
eco-gis
Environmental GIS Dashboard
Air, water, marine, and public-health indicators at spatial-temporal resolution.
- 03
trustworthy-ai
Trustworthy AI Design
Our XAI and UQ consulting line — J. Cleaner Production 2024 and 2025 methods applied to client systems.
- 04
homosilicus
Homosilicus
Our B2B SaaS — synthetic personas validate products, pricing, and UX in 10 minutes.
RESEARCH
Two SCIE papers.
Trustworthy AI methods we published in SCIE journals under the company affiliation.
2025 XAI Climate Environmental AI
Reinforced explainable AI for algal bloom forecasting under climate change: A multi-run class activation mapping (CAM) approach
Lee D., Jeon H. · Journal of Cleaner Production · 529:146805
An enhanced explainable AI for algal-bloom forecasting under climate change, using a multi-run CAM approach to extract consistent model rationales.
View on DOI 2024 Uncertainty Air Quality Trustworthy AI
Building reliable AI for quantifying uncertainty in particulate matter predictions with deep learning
Lee D., Lee B. · Journal of Cleaner Production · 473:143457
A reliable AI framework that quantifies uncertainty in deep-learning particulate-matter predictions, supporting policy and operational decision making.
View on DOICompany information
AI Korea Inc.
- Legal name
- AI Korea Inc.
- CEO
- Donghyun Lee (Professor, HUFS)
- Business reg. no.
- 698-81-02819
- Established
- 2022
- Industry
- Information & Communications · Database and Online Information
- Address
- Songdo-dong, Yeonsu-gu, Incheon, Republic of Korea
- aikoreainc@gmail.com
PARTNERS
Partners
We collaborate with public, research, medical, and industry partners.
Next step
Explore our services, or contact us directly.
Review the engagement scope on each service page, or email us for a PoC scope reply. As a company roadmap, through 2027 we are accumulating operational references in the environmental and public sectors; by 2028 we aim to grow product revenue — led by Homosilicus — to a scale comparable to our services revenue. We reply to inquiries within 1–2 business days.